LinksB2N: Automatic Data Integration for the Semantic Web

Salvadores, Manuel, Correndo, Gianluca, Rodriguez-Castro, Benedicto, Gibbins, Nicholas, Darlington, John and Shadbolt, Nigel (2009) LinksB2N: Automatic Data Integration for the Semantic Web. In, International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2009)

WarningThere is a more recent version of this item available.


[img] PDF (LinksB2N: Automatic Data Integration for the Semantic Web) - Author's Original
Restricted to Registered users only

Download (565Kb) | Request a copy


The ongoing trend towards open data embraced by the Semantic Web has started to produce a large number of data sources. These data sources are published using RDF vocabularies, and it is possible to navigate throughout the data due to their graph topology. This paper presents LinksB2N, an algorithm for discovering information overlaps in RDF data repositories and performing data integration with no human intervention over data sets that partially share the same domain. LinksB2N identifies equivalent RDF resources from different data sets with several degrees of confidence. The algorithm relies on a novel approach that uses clustering techniques to analyze the distribution of unique objects that contain overlapping information in different data graphs. Our contribution is illustrated in the context of the Market Blended Insight project by applying the LinksB2N algorithm to data sets in the order of hundreds of millions of RDF triples containing relevant information in the domain of business to business (B2B) marketing analysis.

Item Type: Conference or Workshop Item (Paper)
Keywords: Data Integration, Semantic Web.
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 267579
Accepted Date and Publication Date:
9 June 2009Submitted
Date Deposited: 17 Jun 2009 09:03
Last Modified: 31 Mar 2016 14:15
Market Blended Insight
Funded by: EPSRC (DT/E007104/1)
Led by: Nigel Shadbolt
1 November 2006 to 31 January 2010
Further Information:Google Scholar

Available Versions of this Item

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics